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Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Singh, Munindar P. (author)
Synchronous, face-to-face interactions such as brainstorming are considered essential for creative tasks (the old normal). However, face-to-face interactions are difficult to arrange because of the diverse locations and conflicting availability of people - a challenge made more prominent by work-from-home practices during the COVID-19...
conference paper 2022
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Ajmeri, Nirav (author), Murukannaiah, P.K. (author), Guo, Hui (author), Singh, Munindar P. (author)
We address the problem of designing agents that navigate social norms by selecting ethically appropriate actions. We present Elessar, a framework in which agents aggregate value preferences of users and select ethically appropriate actions through multicriteria decision making in different social contexts. Via simulations, seeded with a survey...
conference paper 2020
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Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Jonker, C.M. (author), Singh, Munindar P. (author)
Ethics is inherently a multiagent concern. However, research on AI ethics today is dominated by work on individual agents: (1) how an autonomous robot or car may harm or (differentially) benefit people in hypothetical situations (the so-called trolley problems) and (2) how a machine learning algorithm may produce biased decisions or...
conference paper 2020
document
Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Jonker, C.M. (author), Singh, M.P. (author)
Ethics is inherently a multiagent concern. However, research on AI ethics today is dominated by work on individual agents: (1) how an autonomous robot or car may harm or (differentially) benefit people in hypothetical situations (the so-called trolley problems) and (2) how a machine learning algorithm may produce biased decisions or...
conference paper 2020
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